Staff Data Engineer

Opala delivers robust, secure solutions to tackle the most complex data challenges faced by healthcare payers and providers. As a startup originating from a major healthcare plan in the Pacific Northwest, we combine deep health-tech expertise with top-tier data engineering talent to create products that our customers find meaningful and valuable. These products empower payers and their partners to find timely insights and take action to intervene in areas like value-based care analytics, interoperability compliance, and real-time streaming of clinical data.

In this remote position, Opala is hiring a Staff Data Engineer with a strong background in various databases, processes, and tools to join our team. In this remote position, you will provide technical leadership for our data team as well as analyze, design, develop, deploy, and maintain our data-hub and associated integrations.

Responsibilities:

• Works with product and business to outline design specifications, development schedules and refine user-stories to efficiently develop solutions
• Provides technical leadership and guidance, designing templates, code patterns and data patterns for team
• Build end-to-end ETL pipelines populating data for various data-marts, warehouses, exports
• Performs data analysis and development tasks to support ELT/ETL data movement, database development
• Builds complex analytic visualizations around patient, payer, and provider data sets
• Supports all SDLC activities in accordance with industry best practices
• Conducts investigations and tests of considerable complexity
• Troubleshoots complex problems and provides customer support for software operating systems and application issues
• Maintains current knowledge of relevant technology as assigned
• Review and analyze existing data pipelines, and make recommendations on improvement, maintenance, or other factors to improve the system
  
  

Minimum Qualifications:

• 10 years’ relevant experience
• Bachelor’s degree in Computer Science, Engineering, or other related technical discipline, or equivalent relevant work experience
• 5 years building ETL/ELT processes
• 5 years developing with relational and non-relational databases, such as Databricks, Postgres, SQL Server, Dynamodb, Oracle, Mongo DB
• 5 years developing in a structured language (Python, Java, C#, etc..)
• 2 years developing in Databricks (Pyspark/Databricks SQL)
• Experience with the ingestion and egestion of data in a variety of formats including: CSV, JSON, XML and HL7
• Advanced Knowledge of data structures, queries in both relational and no-relational dbs
  
  

Preferred Qualifications:

• Experience in integration projects with healthcare-specific standards (HL7, CCD, C-CDA, X12, FHIR, etc.)
• Experience Azure storage/data platforms and cloud computing in Azure
  
  

Benefits:

• The Seattle base salary range for this full-time position is $163-$188k. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit
  
  

Diversity and Inclusivity Statement:

• At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base. 
  
  

Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

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